Data Analytics: Business and Science Guide for Beginners and the Advanced 2 in 1
2 exact books in 1 about the science of analyzing data for business
Book 1: Learn more about how to analyze data now! This elaborate guide will take you on a journey to multiple aspects of this skill. There is a trick, a science, to doing it the right way, and some of the most important secrets will be revealed in the chapters ahead of you. You’ll learn, among others:
What the big deal with big data is and what to do with them.
Fundamentals, risks, and strategies to analyze data.
Social network data analysis.
Applications to health care, business, and industrial data.
Tips on analyzing decision trees, regression, and sentiment.
The most important basics each analytical geek wants to know before takes these practices to the next level.
Book 2: Explore the field of data science, and the way to analyze big and small data. This technical book goes over the main aspects of analyzing data correctly by using various strategies you need to implement in order to get results that are precise and beneficial. Learn about:
Modeling data and visualization.
The three V’s of big data and what to do with them.
Software recommendations and applications.
Machine algorithms and interesting side notes regarding them.
Rules, infrastructure, adaptation, and other techniques.
Perception and cognition basics that apply to data.
Efficient uses of regression, database querying, machine learning, and data warehousing.